Alternatives
Products that do what Oblix.ai does
Orchestration between cloud/local LLM
- 1
- 2
- 3
- 4
Parallax▲109Local-first AI orchestrator for software development tasks.
Mar 2026 · parallax.maxigimenez.xyz
- 5
- 6
- 7
Host LLMs across devices sharing GPU to make your AI go brrr
Oct 2025 · github.com
- 8PD
We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…
Oct 2025 · github.com
- 9
- 10LS
I built this library because langchain was too bloated and I needed a simple abstraction to call multiple LLM APIs. litellm has two functions - completion(), embedding()
2023 · github.com
- 11
OrchestraML▲82From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app
- 12
- 13
- 14
- 15
- 16
- 17DR
Hi HN, we build an open-source operating system extension for orchestrating robot swarms fully decentralized. This first beta version allows you to create fully decentralized robot swarms. The system will set up a wireless mesh network and run a p2p networking stack on top of it, such that nodes can interact with each other through various abstractions using our SDKs (Rust, Python, TypeScript) or a CLI. We hope this is a step toward better inter-robot communication (and a fun project if you have a few Raspberry Pis lying around). Our mesh network is created by B.A.T.M.A.N.-adv and we’ve…
2025 · docs.p2p.industries
- 18RM
Dec 2025 · github.com
- 19
- 20SA
May 2026 · github.com
- 212C
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com
- 22UU
Hey HN, I'm building Uncloud — a lightweight clustering and container orchestration tool that lets you deploy and manage web apps across cloud VMs and bare metal with minimal cluster management overhead. After several years of managing and extending Kubernetes at a unicorn, I realised that I desperately needed a change. All those abstraction layers, unnecessary complexity, boilerplate… I wanted container orchestration to bring me joy again, the way Ansible did when I first tried it a decade ago, or Docker after that. That’s when I decided to start an experiment that is now called Uncloud.…
2025 · github.com
- 23
- 24
Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking. - mozilla-ai/otari
Jul 2026 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with your own description →